- Matrix Algebra
- Numerical Analysis
- Singular Value Decomposition (SVD)
- Partial Derivative
- matrix diagonalization
Expressway to Data Science: Essential Math Specialization
Learn Mathematical Foundations for Data Science. Review key concepts in algebra, calculus, linear algebra, and numerical analysis that are critical for Data Science.
What you will learn
Compute simple derivatives.
Convert between linear systems and matrix notation and use matrix algebra to solve linear systems.
Factor a simple matrix using Singular Value Decomposition (SVD).
Practice working with logarithm properties and how logarithm functions behave graphically.
Skills you will gain
About this Specialization
Applied Learning Project
Learners will complete quizzes in each of the courses in order to test their understanding of the content as they progress. This specialization does not include any projects or final exams as it is meant to be a fast-paced content review to prepare learners for the higher-level maths required in Data Science.
How the Specialization Works
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
There are 3 Courses in this Specialization
Start working towards your Master's degree
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